RealTimeSubtitle - 2016/17 - RICM5

Supervisors:

• Didier Donsez
• Jérôme Maisonnasse
• Laurent Besacier

Resource person:

• Marie-Paule Balicco, director of Grenoble disabled person's reception

Members of team:

• David Bui, Communication manager
• Anna Bruel, score coordinator
• Maxime Lechevallier, lead manager
• Tanguy Mathieu, scrum master
• Adrien Mouret, project coordinator

Objective

• needs by the Grenoble disabled person's reception service
• achievement of an application which semi-automatically record the voice.
• The HMI facilitates the correction of wrong translations thank to collaborative participation

• Who the project is aimed ? All students, particularly, people is hard of hearing, have difficult to note down or have focus problems.
• What ? Students have understanding problems of course.
• Where ? University of Grenoble
• When ? During lecture course mainly. It can be also used during practical or exercice course
• How ? Web platform and web browser
• Why ? Increase the daily life of students allowing the access of education easier.
• How many ? Nearly 60 000 students in Grenoble, whose 850 are persons with disabilities in Grenoble on.

Technical constraint

• recognition API: Dragon/Sphinx/Amazon/Google natif/Google speech
• HTML5 + CSS + Javascript

Logbook

Sprint 1 (January 23th - January 30th)

Objective: define accurately the requirements and the first sprint.

• Understanding of the subject, constraints and available equipments with Jérome Maisonnasse at FabLab. The team hesitates to use a Fablab's microphone or a simplier bluetooth microphone. We are awareness of different technologie (amazone, google natif, pocket sphinx...) and have the possibility to meet researchers ( Michel Vacher and François Portet )
• Determine the customer requirements with Marie-Paule Balicco at the disabled house.
• Brainstorming to define the specifications.
• Setting up the tools to launch the app: meteor lamp
• Setting up the management tools: gitlab, trello, slack.
• Recovery the old project making in RICM4

Sprint until the 30th of January:

• David Bui: is looking for with API more suitable to the acquisition of the voice. There are the choice between Dragon, Spĥinx, Amazone and Google natif
• Anna Bruel: edit the SRS and the view of the HMI.
• Maxime Lechevallier: is looking for the editing part for the collaborative correction
• Tanguy Mathieu: is looking for the integration of pdf in the app.
• Adrien Mouret: is looking for the deployment of server checking portability.

Sprint 2 (January 30th)

Conclusion of sprint 1: After the meeting with Laurent Besacier and the David's research, we are going to use Google speech API which seems the most efficient. The problem is that the API automatically stop after one minute.

  For the editing part, Maxime looked for a pluggin shareJS

Inspinia

Week 9 (March 20th)

soutenance ???